Back End Developer (AI Infrastructure)

Alignerr; Toronto; Remote; CAD 83,000 - 152,000; Part time

Benefits offered by this job

Fully remote

Flexible hours

Freelance projects

Global team

Job summary

Alignerr in Toronto is seeking a Back End Developer to design, build, and optimize the server-side systems and APIs that power AI products — from data pipelines and model-serving infrastructure to scalable microservices that handle real-world traffic at scale.

You will work on data pipelines, model-serving infrastructure, and scalable microservices that handle real-world traffic at scale, all from a remote, flexible setup.

Qualifications

• Proficient in one or more back end languages (Python, Go, Java, Node.js, Rust).
• Experience with RESTful API design and microservices architecture.
• Experience with relational and/or NoSQL databases (PostgreSQL, MongoDB, Redis).
• Comfortable with cloud platforms such as AWS, GCP, or Azure.
• Familiar with version control (Git), CI/CD pipelines, and containerization (Docker, Kubernetes).

Responsibilities

• Design, develop, and maintain back end services, APIs, and data pipelines.
• Build scalable, high-performance server-side architecture to support AI workloads.
• Write clean, well-documented, and testable code following best practices.
• Integrate with databases, message queues, cloud services, and third‑party APIs.
• Optimize system performance, reliability, and scalability as usage grows.
• Collaborate asynchronously with distributed teams of engineers, researchers, and product leads.
• Troubleshoot production issues, conduct code reviews, and contribute to architectural decisions.
• Work independently on task‑based and project‑based assignments on your own schedule.

Skills

Python

Go

Java

Node.js

Rust

RESTful API design

Microservices

Distributed systems

Tools

Docker

Kubernetes

Git

CI/CD

Job description

About The Role

What if the code you write could directly power the AI systems shaping how millions of people interact with technology? We're looking for Back End Developers in Toronto to design, build, and optimize the server-side systems and APIs that drive cutting-edge AI products — from data pipelines and model-serving infrastructure to scalable microservices that handle real-world traffic at scale.

About The Role

What if the code you write could directly power the AI systems shaping how millions of people interact with technology? We're looking for Back End Developers in Toronto to design, build, and optimize the server-side systems and APIs that drive cutting-edge AI products — from data pipelines and model-serving infrastructure to scalable microservices that handle real-world traffic at scale.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week
  

What You'll Do

• Design, develop, and maintain robust back end services, APIs, and data pipelines
• Build scalable, high-performance server-side architecture to support AI training and inference workloads
• Write clean, well-documented, and testable code following engineering best practices
• Integrate with databases, message queues, cloud services, and third‑party APIs
• Optimize system performance, reliability, and scalability as usage grows
• Collaborate asynchronously with distributed teams of engineers, researchers, and product leads
• Troubleshoot production issues, conduct code reviews, and contribute to architectural decisions
• Work independently on task‑based and project‑based assignments on your own schedule
  

Who You Are

• Proficient in one or more back end languages — Python, Go, Java, Node.js, Rust, or similar
• Solid understanding of RESTful API design, microservices architecture, and distributed systems
• Experienced with relational and/or NoSQL databases (PostgreSQL, MongoDB, Redis, etc.)
• Comfortable working with cloud platforms such as AWS, GCP, or Azure
• Familiar with version control (Git), CI/CD pipelines, and containerization (Docker, Kubernetes)
• Strong problem‑solving skills and the ability to debug complex systems independently
• Self‑motivated, reliable, and effective when working asynchronously without close supervision
• Clear communicator who can document decisions and collaborate across time zones
  

Nice to Have

• Experience building infrastructure for machine learning or AI systems
• Familiarity with data processing frameworks (Apache Kafka, Spark, Airflow, or similar)
• Background in performance optimization, caching strategies, or high‑throughput systems
• Knowledge of authentication, authorization, and security best practices
• Experience with serverless architectures or event‑driven design patterns
• Contributions to open‑source projects or a strong portfolio of personal/professional work
  

Why Join Us

• Work on cutting‑edge AI infrastructure projects alongside leading research labs
• Fully remote and flexible — set your own hours and work from anywhere
• Freelance autonomy with access to meaningful, technically challenging work
• Build systems at the intersection of software engineering and artificial intelligence
• Collaborate with a global network of talented engineers and researchers
• Potential for ongoing work and contract extension as new projects launch